Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece
| Autor: | Yannis Manios, Anastasios Delopoulos, George Moschonis, Christos Diou, Athanasia Tragomalou, Eirini Lekka, Penio Kassari, Evangelia Charmandari, Nicos Maglaveras, Ioannis Ioakimidis, Leandros Stefanopoulos |
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| Rok vydání: | 2020 |
| Předmět: |
Gerontology
Male Pediatric Obesity Adolescent Big data General Practice lcsh:TX341-641 Review 030204 cardiovascular system & hematology Overweight algorithms Pediatrics Childhood obesity Decision Support Techniques 03 medical and health sciences 0302 clinical medicine big data medicine Information system Humans 030212 general & internal medicine Precision Medicine Child Cardiometabolic risk Nutrition and Dietetics Greece business.industry registries Cardiometabolic Risk Factors medicine.disease Obesity Mobile Applications Telemedicine 3. Good health Pedobesity Information and Communications Technology Personalized nutrition e-Health Female medicine.symptom business lcsh:Nutrition. Foods and food supply childhood obesity Food Science |
| Zdroj: | Nutrients Nutrients, Vol 12, Iss 1380, p 1380 (2020) |
| ISSN: | 2072-6643 |
| DOI: | 10.3390/nu12051380 |
| Popis: | Obesity in childhood and adolescence represents a major health problem. Novel e-Health technologies have been developed in order to provide a comprehensive and personalized plan of action for the prevention and management of overweight and obesity in childhood and adolescence. We used information and communication technologies to develop a “National Registry for the Prevention and Management of Overweight and Obesity” in order to register online children and adolescents nationwide, and to guide pediatricians and general practitioners regarding the management of overweight or obese subjects. Furthermore, intelligent multi-level information systems and specialized artificial intelligence algorithms are being developed with a view to offering precision and personalized medical management to obese or overweight subjects. Moreover, the Big Data against Childhood Obesity platform records behavioral data objectively by using inertial sensors and Global Positioning System (GPS) and combines them with data of the environment, in order to assess the full contextual framework that is associated with increased body mass index (BMI). Finally, a computerized decision-support tool was developed to assist pediatric health care professionals in delivering personalized nutrition and lifestyle optimization advice to overweight or obese children and their families. These e-Health applications are expected to play an important role in the management of overweight and obesity in childhood and adolescence. |
| Databáze: | OpenAIRE |
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